Master Thesis

Application process

Master theses can be applied for all year round. Please send your application to to wiso-wi-dwg@fau.de. Please write only one mail, even if you apply to several topics. Use our application form and attach your curriculum vitae, a current transcript of grades as well as any existing diplomas to your application. In the case of unsolicited applications, we additionally ask you to describe your intention briefly but convincingly in the text of your e-mail. You will receive a response to your application after 1-2 weeks.

Prerequisites

Prerequisites

Course of study Conditions
Arbeitsmarkt und Personal 5 ECTS of the chair available in the module catalogue or application for exemption
Economics application for exemption
Finance, Auditing, Controlling, Taxation application for exemption
Gesundheitsmanagement und Gesundheitsökonomie application for exemption
International Business Studies none (work must be written in English)
International Information Systems none
Management application for exemption
Marketing application for exemption
Maschinenbau (Studienrichtung International Production Engineering and Management) attended module at the chair
Sozialökonomik attended module at the chair or application for exemption
Wirtschaftsingenieurwesen attended module (of group M7) at the chair
Wirtschaftspädagogik application for exemption

Open Topics

Topic Supervisor

On the Ethics of Digital Health

While research has spent a lot of effort to study how digital health technology needs to be designed and developed to promote a positive health behavior change, ethical considerations that arise with the use of such technologies are often ignored. This thesis aims to address ethical questions that arise with the use digital health technologies. Questions that could be answered are: How do individuals perceive morals in relation to digital health technologies? What are the design principles and guidelines that need to be considered when developing digital health technologies? How can the ethical awareness of consumers be strengthened? Different methodologies (qualitative and quantitative) can be used to answer these and further questions. Moreover, a systematic literature review can be conducted to summarize the major findings from past research in this area. The thesis and the application can be handed in in German or English. Please apply to david.horneber@fau.de by using the chair’s application form together with all of your attachments.
David Horneber

God Google? - On human dignity and autonomy in a data-driven world

The rapidly increasing amount of digitally available information makes selective, personalized filtering increasingly indispensable. For instance, individuals searching the web for a specific keyword might see differing results depending on their location and personal search history, and the displayed content on social media sites or online stores is largely adapted to the preferences of the logged-in user, potentially guiding them into a “filter bubble” (Pariser 2011). While some of the world’s largest companies have very successfully dedicated their business model to this task, academic research has not comprehensively investigated the impact of such personalized data-driven systems on human decision-making with regards to normative concepts such as liberty, autonomy or dignity. Therefore, the aim of this thesis is to investigate the societal impact of data-driven applications or platforms based on such a concept by means of a literature-based or empirical contribution. The thesis can be written in English or German. Please apply to kian.schmalenbach@fau.de by using the chair’s application form together with all of your attachments.
Kian Schmalenbach

Trapped inside the filter bubble? The effect of recommender systems on content diversity

Many large commercial online platforms use recommender systems to display individualized contents to their users, including shopping items, news reports, or job offers. While heavily contributing to the economic success of the companies operating these platforms, several studies have shown that the application of such recommender systems can direct the users into a “filter bubble” by continuously narrowing the diversity of the contents displayed to the user. The goal of this thesis is to explain and analyze this effect and its consequences within an application area of choice (e.g., social media platforms) by conducting either a structured literature review or an empirical study. The thesis can be written in English or German. Please apply to kian.schmalenbach@fau.de by using the chair’s application form together with all of your attachments.
Kian Schmalenbach